Multi-Focus Image Fusion Based on Shearlet and Local Energy
Multi-focus image fusion aims at processing and synthesizing information provided by various sensors. In this paper, the application of the sbearlet transform in image fusion was discussed. Shearlet is a novel multiscale geometric analysis tool; it provides many advantages in comparison with conventional multiresolution analysis. A novel image fusion algorithm based on shearlet and local energy is proposed which can preserve more details in source images and further improve the subjective quality of fused image. Experimental results show that comparing with traditional image fusion algorithms, the proposed approach can provide more satisfactory fusion outcome.
image fusion shearlet transform wavelet transform local energy
Li Lu Jia Zhao Hui Sun
School of Information Engineering Nanchang Institute of Technology NanChang, China School of Information Engineering Nanchang Institute of Technology School of Information Engineering
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
632-635
2010-07-05(万方平台首次上网日期,不代表论文的发表时间)